The Current Trends of DDoS Detection in SDN Environment-Reference-Cited by-同舟云学术

The Current Trends of DDoS Detection in SDN Environment

Published:2021-12-28 Issue: Volume: Page:
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Container-title:2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA)
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Author:

Kareem Mohammed Ibrahim¹,Jasim Mahdi Nsaif²

Affiliation:

1. Unversity of Babylon,Dept. Inforamtion Networks,Babylon,Iraq

2. University of Information Technology and Communications,MIT Dep. Business Informatics College,Baghdad,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9773360/9773386/09773744.pdf?arnumber=9773744

Reference35 articles.

1. Design of Ensemble Learning Methods for DDoS Detection in SDN Environment

2. AI-Based Two-Stage Intrusion Detection for Software Defined IoT Networks

3. DDoS attacks and flash event detection based on flow characteristics in SDN;guozi;2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS),2018

4. FADM: DDoS Flooding Attack Detection and Mitigation System in Software-Defined Networking

5. Efficient Distributed Denial-of-Service Attack Defense in SDN-Based Cloud

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1. AI-based Network Flooding Attack Detection in SDN using Multiple Learning Models and Controller;2023 12th International Conference on Advanced Computing (ICoAC);2023-08-17

2. Air Pollution Prediction Using Machine Learning and Neural Network;2023 International Conference on Information Technology, Applied Mathematics and Statistics (ICITAMS);2023-03-20

3. Measurement and Analysis: Does QUIC Outperform TCP?;2022 18th International Conference on Mobility, Sensing and Networking (MSN);2022-12